Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …

Heart disease is one of the complex diseases and globally many people suffered from this
disease. On time and efficient identification of heart disease plays a key role in healthcare …

Predicting cardiac disease is considered one of the most challenging tasks in the medical
field. It takes a lot of time and effort to figure out what's causing this, especially for doctors …

This study aims to use a machine learning (ML)-based enhanced diagnosis and survival
model to predict heart disease and survival in heart failure by combining the cuckoo search …

High-dimensional medical data makes prediction a complex and difficult task. This study
aims at modeling predictive models for medical data. Two datasets of medical data are …

Heart diseases are a leading cause of death worldwide, and they have sparked a lot of
interest in the scientific community. Because of the high number of impulsive deaths …

Heart disease (HD) is a major threat to human health, and the medical field generates vast
amounts of data that doctors struggle to effectively interpret and use. Early prediction and …

Machine learning classification techniques are extremely useful in the medical field by
providing accurate results and quick diagnosis of diseases. Hence, these techniques save …

Heart disease is the world's leading cause of increasing death rates. Although there is a lot
of research in the medical sector, an efficient and reliable model to predict this disease at an …

Heart Disease (HD) is a critical condition that many people suffer from and it is the
expression which is used to characterize different types of heart conditions. Many people …